Population

Population Change

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

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This dataset provides county-level demographic data (sex, adjudication, age, race/ethnicity, and service setting) for youth admitted to and discharged from the care and custody of the Office of Children and Family Services (OCFS) each year. Data are counted using a youth’s first admission or discharge in a calendar year. Admissions data are aggregate based on the responsible (court) county. Discharges data are aggregate based on the county of residence.

Historical population data captured daily. Two figures are shown those in custody and those in outside custody but are still under the responsibility of Sonoma County Sheriff. Examples of outside custody include home confinement, state prison, hospital stays, weekend custody, and supervised by other agencies.

The average inmate population at all Fulton County detention facilities including the Main Jail. The average population is calculated for each month by averaging the daily population counts reported by the Fulton County Sheriff.

This dataset is a list of main headquarter office locations for non profit and governmental organizations that have formal agreements with Austin Public Health for the delivery of social services within the City of Austin and/or Travis County. It contains information on the Agency Name, Alias, Main Office Location (i.e., Address, City, State, Zip Code), Agency’s Website, Main Office Phone, COA Vendor Code, Main Office Latitude and Longitude. Due to safety concerns of some vulnerable populations, listed physical main locations are shown if already a matter of public record through any one of the following sources: 1. controller's contract website at https://www.austintexas.gov/financeonline/vendor_connection/search/svname.cfm 2. agency's own website identifies main location 3. the main location is identified within organization’s formal agreement with Austin Public Health If all of the above sources, contain a P O Box, then the PO Box itself is provided - in lieu of the physical location - among the agency’s contact information. In the event an organization provides service delivery outside of its main headquarter location, such additional locations are not listed here. No warranty is made by the City of Austin regarding the specific accuracy, relevance, or completeness of this dataset.

The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).

Find key information on main libraries, branches, and bookmobiles, including FSCS IDs, square footage, locale code, and location. These data include imputed values for libraries that did not submit information in the FY 2015 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing. Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2015 at https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data

This data is compiled by the Cook County Department of Public Health using data from the Illinois Department of Public Health Vital Statistics. It includes the annual number of deaths, crude and age-adjusted death rates by selected causes of death. Further analysis is available by age group, race/ethnicity, gender and decedent's place of residence in suburban Cook County at the time of their death. Table of Contents and other information can be found at http://opendocs.cookcountyil.gov/docs/Death_Table_of_Contents2_jh9b-icit.pdf. Note: * Counts suppressed for events between 1 and 4, - Rates not calculated for events less than 20

This data is compiled by the Cook County Department of Public Health using data from the Illinois Department of Public Health Vital Statistics. It includes the annual number of live births, and birth related outcomes and characteristics. Further analysis is available by birth mother's age group, race/ethnicity, and place/district of residence for all births in suburban Cook County. Also included is data related to infant mortality. Table of Contents and other information can be found at http://opendocs.cookcountyil.gov/docs/Birth_Table_Of_Contents_Data_Portal_fyn8-c3rk.pdf. Note: * Counts suppressed for events between 1 and 4, - Rates not calculated for events less than 20

Find key information on main libraries, branches, and bookmobiles, including FSCS IDs, square footage, locale code, and location. <br><br>These data include imputed values for libraries that did not submit information in the FY 2014 data collection. Imputation is a procedure for estimating a value for a specific data item where the response is missing.<br><br>Download PLS data files to see imputation flag variables or learn more on the imputation methods used in FY 2014 at <a href="https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data">https://www.imls.gov/research-evaluation/data-collection/public-libraries-survey/explore-pls-data/pls-data</a>